Winter Thermal Multi-Objective Optimization: a Simulation Case Study
Marco Camponeschi, Alessandro Fonti, Fabio Leccese, Gabriele Comodi, Maurizio Grossoni, Stefano Pizzuti · Iris (Roma Tre University) · 2015
In this work we propose a new approach based on multi-objective optimization combined with simulation tools in order to improve the building thermal energy performance during winter by keeping into account gas consumption and user comfort. In particular different scenarios have been investigated and results showed that there is a nearly 20% potential of energy saving. Experimentation has been carried out by simulating a real building and comparisons refer to the real settings applied to it.